Low-Code AI

This hands-on guide offers a data-driven, use-case-focused introduction to machine learning and deep learning, suitable for business and data analysts. It explores three problem-based approaches—AutoML, BigQuery ML, and custom coding with scikit-learn and Keras—using real-world datasets across various industries. Readers will learn essential ML concepts, from data analysis and visualization to model building, training, tuning, and deployment, all within a practical, project-based framework.